Dataset statistics
| Number of variables | 22 |
|---|---|
| Number of observations | 9,150 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 1.5 MiB |
| Average record size in memory | 176.0 B |
Variable types
| Numeric | 14 |
|---|---|
| Categorical | 8 |
pdays is highly correlated with poutcome | High correlation |
poutcome is highly correlated with pdays | High correlation |
emp_var_rate is highly correlated with euribor3m | High correlation |
euribor3m is highly correlated with emp_var_rate and 1 other fields | High correlation |
nr_employed is highly correlated with euribor3m | High correlation |
id is uniformly distributed | Uniform |
id has unique values | Unique |
job has 1966 (21.5%) zeros | Zeros |
education has 1037 (11.3%) zeros | Zeros |
month has 5396 (59.0%) zeros | Zeros |
previous has 7651 (83.6%) zeros | Zeros |
Reproduction
| Analysis started | 2021-01-12 07:48:42.641727 |
|---|---|
| Analysis finished | 2021-01-12 07:49:06.277653 |
| Duration | 23.64 seconds |
| Software version | pandas-profiling v2.10.0 |
| Download configuration | config.yaml |
| Distinct | 9150 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4575.5 |
|---|---|
| Minimum | 1 |
| Maximum | 9150 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 71.6 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 458.45 |
| Q1 | 2288.25 |
| median | 4575.5 |
| Q3 | 6862.75 |
| 95-th percentile | 8692.55 |
| Maximum | 9150 |
| Range | 9149 |
| Interquartile range (IQR) | 4574.5 |
Descriptive statistics
| Standard deviation | 2641.521815 |
|---|---|
| Coefficient of variation (CV) | 0.5773187226 |
| Kurtosis | -1.2 |
| Mean | 4575.5 |
| Median Absolute Deviation (MAD) | 2287.5 |
| Skewness | 0 |
| Sum | 41865825 |
| Variance | 6977637.5 |
| Monotocity | Strictly increasing |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 2049 | 1 | < 0.1% |
| 4711 | 1 | < 0.1% |
| 6750 | 1 | < 0.1% |
| 4703 | 1 | < 0.1% |
| 8801 | 1 | < 0.1% |
| 2660 | 1 | < 0.1% |
| 613 | 1 | < 0.1% |
| 6758 | 1 | < 0.1% |
| 8809 | 1 | < 0.1% |
| 2652 | 1 | < 0.1% |
| Other values (9140) | 9140 |
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 |
| Value | Count | Frequency (%) |
| 9150 | 1 | |
| 9149 | 1 | |
| 9148 | 1 | |
| 9147 | 1 | |
| 9146 | 1 |
age
Real number (ℝ≥0)
| Distinct | 75 |
|---|---|
| Distinct (%) | 0.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 40.7831694 |
|---|---|
| Minimum | 17 |
| Maximum | 98 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 71.6 KiB |
Quantile statistics
| Minimum | 17 |
|---|---|
| 5-th percentile | 26 |
| Q1 | 32 |
| median | 39 |
| Q3 | 48 |
| 95-th percentile | 60 |
| Maximum | 98 |
| Range | 81 |
| Interquartile range (IQR) | 16 |
Descriptive statistics
| Standard deviation | 11.66946407 |
|---|---|
| Coefficient of variation (CV) | 0.2861343109 |
| Kurtosis | 1.086646096 |
| Mean | 40.7831694 |
| Median Absolute Deviation (MAD) | 8 |
| Skewness | 0.9221055965 |
| Sum | 373166 |
| Variance | 136.1763917 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 33 | 394 | 4.3% |
| 36 | 388 | 4.2% |
| 31 | 382 | 4.2% |
| 35 | 370 | 4.0% |
| 34 | 356 | 3.9% |
| 32 | 354 | 3.9% |
| 30 | 336 | 3.7% |
| 39 | 318 | 3.5% |
| 38 | 309 | 3.4% |
| 37 | 308 | 3.4% |
| Other values (65) | 5635 |
| Value | Count | Frequency (%) |
| 17 | 2 | < 0.1% |
| 18 | 12 | 0.1% |
| 19 | 20 | |
| 20 | 26 | |
| 21 | 30 |
| Value | Count | Frequency (%) |
| 98 | 2 | < 0.1% |
| 92 | 3 | < 0.1% |
| 89 | 2 | < 0.1% |
| 88 | 9 | |
| 87 | 1 | < 0.1% |
| Distinct | 12 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.610819672 |
|---|---|
| Minimum | 0 |
| Maximum | 11 |
| Zeros | 1966 |
| Zeros (%) | 21.5% |
| Memory size | 71.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 2 |
| median | 5 |
| Q3 | 7 |
| 95-th percentile | 11 |
| Maximum | 11 |
| Range | 11 |
| Interquartile range (IQR) | 5 |
Descriptive statistics
| Standard deviation | 3.461752179 |
|---|---|
| Coefficient of variation (CV) | 0.7507888891 |
| Kurtosis | -1.175199848 |
| Mean | 4.610819672 |
| Median Absolute Deviation (MAD) | 3 |
| Skewness | 0.0736058897 |
| Sum | 42189 |
| Variance | 11.98372815 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=12)
| Value | Count | Frequency (%) |
| 7 | 2275 | |
| 0 | 1966 | |
| 2 | 1337 | |
| 5 | 854 | 9.3% |
| 6 | 666 | 7.3% |
| 11 | 566 | 6.2% |
| 8 | 320 | 3.5% |
| 1 | 286 | 3.1% |
| 10 | 285 | 3.1% |
| 9 | 253 | 2.8% |
| Other values (2) | 342 | 3.7% |
| Value | Count | Frequency (%) |
| 0 | 1966 | |
| 1 | 286 | 3.1% |
| 2 | 1337 | |
| 3 | 243 | 2.7% |
| 4 | 99 | 1.1% |
| Value | Count | Frequency (%) |
| 11 | 566 | 6.2% |
| 10 | 285 | 3.1% |
| 9 | 253 | 2.8% |
| 8 | 320 | 3.5% |
| 7 | 2275 |
marital
Categorical
| Distinct | 4 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 71.6 KiB |
| 1 | |
|---|---|
| 2 | |
| 0 | |
| 3 | 21 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 9150 |
|---|---|
| Distinct characters | 4 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 1 |
| 5th row | 1 |
| Value | Count | Frequency (%) |
| 1 | 5602 | |
| 2 | 2536 | |
| 0 | 991 | 10.8% |
| 3 | 21 | 0.2% |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 1 | 5602 | |
| 2 | 2536 | |
| 0 | 991 | 10.8% |
| 3 | 21 | 0.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 5602 | |
| 2 | 2536 | |
| 0 | 991 | 10.8% |
| 3 | 21 | 0.2% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 9150 |
Most frequent character per category
| Value | Count | Frequency (%) |
| 1 | 5602 | |
| 2 | 2536 | |
| 0 | 991 | 10.8% |
| 3 | 21 | 0.2% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 9150 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 1 | 5602 | |
| 2 | 2536 | |
| 0 | 991 | 10.8% |
| 3 | 21 | 0.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 9150 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 1 | 5602 | |
| 2 | 2536 | |
| 0 | 991 | 10.8% |
| 3 | 21 | 0.2% |
| Distinct | 8 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.635956284 |
|---|---|
| Minimum | 0 |
| Maximum | 7 |
| Zeros | 1037 |
| Zeros (%) | 11.3% |
| Memory size | 71.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 1 |
| median | 2 |
| Q3 | 5 |
| 95-th percentile | 6 |
| Maximum | 7 |
| Range | 7 |
| Interquartile range (IQR) | 4 |
Descriptive statistics
| Standard deviation | 1.913599082 |
|---|---|
| Coefficient of variation (CV) | 0.7259600979 |
| Kurtosis | -1.324833101 |
| Mean | 2.635956284 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 0.2923958668 |
| Sum | 24119 |
| Variance | 3.661861447 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=8)
| Value | Count | Frequency (%) |
| 1 | 2603 | |
| 5 | 2082 | |
| 2 | 1284 | |
| 3 | 1118 | |
| 0 | 1037 | 11.3% |
| 6 | 534 | 5.8% |
| 4 | 488 | 5.3% |
| 7 | 4 | < 0.1% |
| Value | Count | Frequency (%) |
| 0 | 1037 | 11.3% |
| 1 | 2603 | |
| 2 | 1284 | |
| 3 | 1118 | |
| 4 | 488 | 5.3% |
| Value | Count | Frequency (%) |
| 7 | 4 | < 0.1% |
| 6 | 534 | 5.8% |
| 5 | 2082 | |
| 4 | 488 | 5.3% |
| 3 | 1118 |
default
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 71.6 KiB |
| 1 | |
|---|---|
| 0 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 9150 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 1 |
| 4th row | 0 |
| 5th row | 0 |
| Value | Count | Frequency (%) |
| 1 | 7247 | |
| 0 | 1903 | 20.8% |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 1 | 7247 | |
| 0 | 1903 | 20.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 7247 | |
| 0 | 1903 | 20.8% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 9150 |
Most frequent character per category
| Value | Count | Frequency (%) |
| 1 | 7247 | |
| 0 | 1903 | 20.8% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 9150 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 1 | 7247 | |
| 0 | 1903 | 20.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 9150 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 1 | 7247 | |
| 0 | 1903 | 20.8% |
housing
Categorical
| Distinct | 3 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 71.6 KiB |
| 0 | |
|---|---|
| 1 | |
| 2 | 259 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 9150 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 1 |
| 4th row | 0 |
| 5th row | 0 |
| Value | Count | Frequency (%) |
| 0 | 4534 | |
| 1 | 4357 | |
| 2 | 259 | 2.8% |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 0 | 4534 | |
| 1 | 4357 | |
| 2 | 259 | 2.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 4534 | |
| 1 | 4357 | |
| 2 | 259 | 2.8% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 9150 |
Most frequent character per category
| Value | Count | Frequency (%) |
| 0 | 4534 | |
| 1 | 4357 | |
| 2 | 259 | 2.8% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 9150 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 0 | 4534 | |
| 1 | 4357 | |
| 2 | 259 | 2.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 9150 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 0 | 4534 | |
| 1 | 4357 | |
| 2 | 259 | 2.8% |
loan
Categorical
| Distinct | 3 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 71.6 KiB |
| 0 | |
|---|---|
| 1 | |
| 2 | 259 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 9150 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
| Value | Count | Frequency (%) |
| 0 | 7579 | |
| 1 | 1312 | 14.3% |
| 2 | 259 | 2.8% |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 0 | 7579 | |
| 1 | 1312 | 14.3% |
| 2 | 259 | 2.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 7579 | |
| 1 | 1312 | 14.3% |
| 2 | 259 | 2.8% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 9150 |
Most frequent character per category
| Value | Count | Frequency (%) |
| 0 | 7579 | |
| 1 | 1312 | 14.3% |
| 2 | 259 | 2.8% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 9150 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 0 | 7579 | |
| 1 | 1312 | 14.3% |
| 2 | 259 | 2.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 9150 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 0 | 7579 | |
| 1 | 1312 | 14.3% |
| 2 | 259 | 2.8% |
contact
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 71.6 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 9150 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
| Value | Count | Frequency (%) |
| 0 | 5297 | |
| 1 | 3853 |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 0 | 5297 | |
| 1 | 3853 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 5297 | |
| 1 | 3853 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 9150 |
Most frequent character per category
| Value | Count | Frequency (%) |
| 0 | 5297 | |
| 1 | 3853 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 9150 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 0 | 5297 | |
| 1 | 3853 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 9150 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 0 | 5297 | |
| 1 | 3853 |
| Distinct | 10 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.775300546 |
|---|---|
| Minimum | 0 |
| Maximum | 9 |
| Zeros | 5396 |
| Zeros (%) | 59.0% |
| Memory size | 71.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 3 |
| 95-th percentile | 8 |
| Maximum | 9 |
| Range | 9 |
| Interquartile range (IQR) | 3 |
Descriptive statistics
| Standard deviation | 2.718473696 |
|---|---|
| Coefficient of variation (CV) | 1.531275198 |
| Kurtosis | 0.7012844458 |
| Mean | 1.775300546 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 1.419172227 |
| Sum | 16244 |
| Variance | 7.390099237 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 0 | 5396 | |
| 3 | 655 | 7.2% |
| 2 | 649 | 7.1% |
| 1 | 559 | 6.1% |
| 8 | 539 | 5.9% |
| 5 | 416 | 4.5% |
| 4 | 315 | 3.4% |
| 7 | 276 | 3.0% |
| 9 | 256 | 2.8% |
| 6 | 89 | 1.0% |
| Value | Count | Frequency (%) |
| 0 | 5396 | |
| 1 | 559 | 6.1% |
| 2 | 649 | 7.1% |
| 3 | 655 | 7.2% |
| 4 | 315 | 3.4% |
| Value | Count | Frequency (%) |
| 9 | 256 | |
| 8 | 539 | |
| 7 | 276 | |
| 6 | 89 | 1.0% |
| 5 | 416 |
day_of_week
Categorical
| Distinct | 5 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 71.6 KiB |
| 1 | |
|---|---|
| 3 | |
| 0 | |
| 2 | |
| 4 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 9150 |
|---|---|
| Distinct characters | 5 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
| Value | Count | Frequency (%) |
| 1 | 2137 | |
| 3 | 1901 | |
| 0 | 1768 | |
| 2 | 1750 | |
| 4 | 1594 |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 1 | 2137 | |
| 3 | 1901 | |
| 0 | 1768 | |
| 2 | 1750 | |
| 4 | 1594 |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 2137 | |
| 3 | 1901 | |
| 0 | 1768 | |
| 2 | 1750 | |
| 4 | 1594 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 9150 |
Most frequent character per category
| Value | Count | Frequency (%) |
| 1 | 2137 | |
| 3 | 1901 | |
| 0 | 1768 | |
| 2 | 1750 | |
| 4 | 1594 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 9150 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 1 | 2137 | |
| 3 | 1901 | |
| 0 | 1768 | |
| 2 | 1750 | |
| 4 | 1594 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 9150 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 1 | 2137 | |
| 3 | 1901 | |
| 0 | 1768 | |
| 2 | 1750 | |
| 4 | 1594 |
duration
Real number (ℝ≥0)
| Distinct | 1405 |
|---|---|
| Distinct (%) | 15.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 403.0501639 |
|---|---|
| Minimum | 3 |
| Maximum | 4199 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 71.6 KiB |
Quantile statistics
| Minimum | 3 |
|---|---|
| 5-th percentile | 71 |
| Q1 | 166 |
| median | 282 |
| Q3 | 533.75 |
| 95-th percentile | 1102.65 |
| Maximum | 4199 |
| Range | 4196 |
| Interquartile range (IQR) | 367.75 |
Descriptive statistics
| Standard deviation | 356.9098545 |
|---|---|
| Coefficient of variation (CV) | 0.8855221667 |
| Kurtosis | 8.902702165 |
| Mean | 403.0501639 |
| Median Absolute Deviation (MAD) | 146.5 |
| Skewness | 2.272913247 |
| Sum | 3687909 |
| Variance | 127384.6442 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 166 | 34 | 0.4% |
| 160 | 32 | 0.3% |
| 136 | 31 | 0.3% |
| 211 | 31 | 0.3% |
| 139 | 31 | 0.3% |
| 179 | 30 | 0.3% |
| 194 | 30 | 0.3% |
| 192 | 30 | 0.3% |
| 182 | 29 | 0.3% |
| 207 | 29 | 0.3% |
| Other values (1395) | 8843 |
| Value | Count | Frequency (%) |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 2 |
| Value | Count | Frequency (%) |
| 4199 | 1 | |
| 3643 | 1 | |
| 3631 | 1 | |
| 3366 | 1 | |
| 3183 | 1 |
campaign
Real number (ℝ≥0)
| Distinct | 27 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.201857923 |
|---|---|
| Minimum | 1 |
| Maximum | 56 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 71.6 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 2 |
| Q3 | 3 |
| 95-th percentile | 6 |
| Maximum | 56 |
| Range | 55 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 2.119971716 |
|---|---|
| Coefficient of variation (CV) | 0.9628104035 |
| Kurtosis | 90.39525685 |
| Mean | 2.201857923 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 6.37810372 |
| Sum | 20147 |
| Variance | 4.494280076 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=27)
| Value | Count | Frequency (%) |
| 1 | 4254 | |
| 2 | 2528 | |
| 3 | 1124 | 12.3% |
| 4 | 532 | 5.8% |
| 5 | 250 | 2.7% |
| 6 | 150 | 1.6% |
| 7 | 98 | 1.1% |
| 9 | 45 | 0.5% |
| 8 | 43 | 0.5% |
| 10 | 35 | 0.4% |
| Other values (17) | 91 | 1.0% |
| Value | Count | Frequency (%) |
| 1 | 4254 | |
| 2 | 2528 | |
| 3 | 1124 | 12.3% |
| 4 | 532 | 5.8% |
| 5 | 250 | 2.7% |
| Value | Count | Frequency (%) |
| 56 | 1 | |
| 42 | 1 | |
| 39 | 1 | |
| 35 | 1 | |
| 25 | 1 |
| Distinct | 26 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 894.047541 |
|---|---|
| Minimum | 0 |
| Maximum | 999 |
| Zeros | 10 |
| Zeros (%) | 0.1% |
| Memory size | 71.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 6 |
| Q1 | 999 |
| median | 999 |
| Q3 | 999 |
| 95-th percentile | 999 |
| Maximum | 999 |
| Range | 999 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 305.325311 |
|---|---|
| Coefficient of variation (CV) | 0.3415090328 |
| Kurtosis | 4.584143307 |
| Mean | 894.047541 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | -2.565731251 |
| Sum | 8180535 |
| Variance | 93223.54556 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=26)
| Value | Count | Frequency (%) |
| 999 | 8183 | |
| 3 | 298 | 3.3% |
| 6 | 289 | 3.2% |
| 4 | 63 | 0.7% |
| 7 | 40 | 0.4% |
| 2 | 37 | 0.4% |
| 9 | 35 | 0.4% |
| 10 | 30 | 0.3% |
| 5 | 29 | 0.3% |
| 13 | 28 | 0.3% |
| Other values (16) | 118 | 1.3% |
| Value | Count | Frequency (%) |
| 0 | 10 | 0.1% |
| 1 | 8 | 0.1% |
| 2 | 37 | 0.4% |
| 3 | 298 | |
| 4 | 63 | 0.7% |
| Value | Count | Frequency (%) |
| 999 | 8183 | |
| 27 | 1 | < 0.1% |
| 26 | 1 | < 0.1% |
| 25 | 1 | < 0.1% |
| 22 | 2 | < 0.1% |
| Distinct | 7 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.2498360656 |
|---|---|
| Minimum | 0 |
| Maximum | 6 |
| Zeros | 7651 |
| Zeros (%) | 83.6% |
| Memory size | 71.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 2 |
| Maximum | 6 |
| Range | 6 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 0.6602955742 |
|---|---|
| Coefficient of variation (CV) | 2.642915356 |
| Kurtosis | 13.31496439 |
| Mean | 0.2498360656 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 3.340200299 |
| Sum | 2286 |
| Variance | 0.4359902453 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=7)
| Value | Count | Frequency (%) |
| 0 | 7651 | |
| 1 | 967 | 10.6% |
| 2 | 350 | 3.8% |
| 3 | 128 | 1.4% |
| 4 | 38 | 0.4% |
| 5 | 13 | 0.1% |
| 6 | 3 | < 0.1% |
| Value | Count | Frequency (%) |
| 0 | 7651 | |
| 1 | 967 | 10.6% |
| 2 | 350 | 3.8% |
| 3 | 128 | 1.4% |
| 4 | 38 | 0.4% |
| Value | Count | Frequency (%) |
| 6 | 3 | < 0.1% |
| 5 | 13 | 0.1% |
| 4 | 38 | 0.4% |
| 3 | 128 | 1.4% |
| 2 | 350 |
| Distinct | 3 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 71.6 KiB |
| 0 | |
|---|---|
| 2 | |
| 1 | 605 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 9150 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
| Value | Count | Frequency (%) |
| 0 | 7651 | |
| 2 | 894 | 9.8% |
| 1 | 605 | 6.6% |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 0 | 7651 | |
| 2 | 894 | 9.8% |
| 1 | 605 | 6.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 7651 | |
| 2 | 894 | 9.8% |
| 1 | 605 | 6.6% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 9150 |
Most frequent character per category
| Value | Count | Frequency (%) |
| 0 | 7651 | |
| 2 | 894 | 9.8% |
| 1 | 605 | 6.6% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 9150 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 0 | 7651 | |
| 2 | 894 | 9.8% |
| 1 | 605 | 6.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 9150 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 0 | 7651 | |
| 2 | 894 | 9.8% |
| 1 | 605 | 6.6% |
| Distinct | 10 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | -0.08330054645 |
|---|---|
| Minimum | -3.4 |
| Maximum | 1.4 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 71.6 KiB |
Quantile statistics
| Minimum | -3.4 |
|---|---|
| 5-th percentile | -3 |
| Q1 | -1.8 |
| median | 1.1 |
| Q3 | 1.1 |
| 95-th percentile | 1.4 |
| Maximum | 1.4 |
| Range | 4.8 |
| Interquartile range (IQR) | 2.9 |
Descriptive statistics
| Standard deviation | 1.64249331 |
|---|---|
| Coefficient of variation (CV) | -19.7176775 |
| Kurtosis | -1.077937633 |
| Mean | -0.08330054645 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | -0.758342162 |
| Sum | -762.2 |
| Variance | 2.697784274 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 1.1 | 4750 | |
| -1.8 | 1461 | 16.0% |
| 1.4 | 866 | 9.5% |
| -2.9 | 594 | 6.5% |
| -3.4 | 454 | 5.0% |
| -1.7 | 403 | 4.4% |
| -1.1 | 301 | 3.3% |
| -0.1 | 232 | 2.5% |
| -3 | 88 | 1.0% |
| -0.2 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| -3.4 | 454 | 5.0% |
| -3 | 88 | 1.0% |
| -2.9 | 594 | |
| -1.8 | 1461 | |
| -1.7 | 403 | 4.4% |
| Value | Count | Frequency (%) |
| 1.4 | 866 | 9.5% |
| 1.1 | 4750 | |
| -0.1 | 232 | 2.5% |
| -0.2 | 1 | < 0.1% |
| -1.1 | 301 | 3.3% |
cons_price_idx
Real number (ℝ≥0)
| Distinct | 26 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 93.66964929 |
|---|---|
| Minimum | 92.201 |
| Maximum | 94.767 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 71.6 KiB |
Quantile statistics
| Minimum | 92.201 |
|---|---|
| 5-th percentile | 92.431 |
| Q1 | 93.2 |
| median | 93.994 |
| Q3 | 93.994 |
| 95-th percentile | 94.215 |
| Maximum | 94.767 |
| Range | 2.566 |
| Interquartile range (IQR) | 0.794 |
Descriptive statistics
| Standard deviation | 0.578289085 |
|---|---|
| Coefficient of variation (CV) | 0.006173708232 |
| Kurtosis | -0.03084718508 |
| Mean | 93.66964929 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | -1.033532813 |
| Sum | 857077.291 |
| Variance | 0.3344182658 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=26)
| Value | Count | Frequency (%) |
| 93.994 | 4750 | |
| 92.893 | 524 | 5.7% |
| 93.075 | 442 | 4.8% |
| 93.918 | 407 | 4.4% |
| 93.444 | 271 | 3.0% |
| 92.963 | 264 | 2.9% |
| 92.201 | 264 | 2.9% |
| 93.2 | 190 | 2.1% |
| 94.465 | 188 | 2.1% |
| 92.431 | 180 | 2.0% |
| Other values (16) | 1670 | 18.3% |
| Value | Count | Frequency (%) |
| 92.201 | 264 | |
| 92.379 | 106 | |
| 92.431 | 180 | |
| 92.469 | 66 | 0.7% |
| 92.649 | 168 |
| Value | Count | Frequency (%) |
| 94.767 | 58 | 0.6% |
| 94.601 | 93 | |
| 94.465 | 188 | |
| 94.215 | 176 | |
| 94.199 | 150 |
cons_conf_idx
Real number (ℝ)
| Distinct | 26 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | -38.11897268 |
|---|---|
| Minimum | -50.8 |
| Maximum | -26.9 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 71.6 KiB |
Quantile statistics
| Minimum | -50.8 |
|---|---|
| 5-th percentile | -47.1 |
| Q1 | -40.8 |
| median | -36.4 |
| Q3 | -36.4 |
| 95-th percentile | -31.4 |
| Maximum | -26.9 |
| Range | 23.9 |
| Interquartile range (IQR) | 4.4 |
Descriptive statistics
| Standard deviation | 4.688913004 |
|---|---|
| Coefficient of variation (CV) | -0.1230073288 |
| Kurtosis | 0.5563142862 |
| Mean | -38.11897268 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | -0.6323721873 |
| Sum | -348788.6 |
| Variance | 21.98590516 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=26)
| Value | Count | Frequency (%) |
| -36.4 | 4750 | |
| -46.2 | 524 | 5.7% |
| -47.1 | 442 | 4.8% |
| -42.7 | 407 | 4.4% |
| -36.1 | 271 | 3.0% |
| -31.4 | 264 | 2.9% |
| -40.8 | 264 | 2.9% |
| -42 | 190 | 2.1% |
| -41.8 | 188 | 2.1% |
| -26.9 | 180 | 2.0% |
| Other values (16) | 1670 | 18.3% |
| Value | Count | Frequency (%) |
| -50.8 | 58 | 0.6% |
| -50 | 126 | 1.4% |
| -49.5 | 93 | 1.0% |
| -47.1 | 442 | |
| -46.2 | 524 |
| Value | Count | Frequency (%) |
| -26.9 | 180 | |
| -29.8 | 106 | |
| -30.1 | 168 | |
| -31.4 | 264 | |
| -33 | 88 | 1.0% |
| Distinct | 287 |
|---|---|
| Distinct (%) | 3.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.470681858 |
|---|---|
| Minimum | 0.634 |
| Maximum | 5.045 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 71.6 KiB |
Quantile statistics
| Minimum | 0.634 |
|---|---|
| 5-th percentile | 0.714 |
| Q1 | 1.266 |
| median | 4.856 |
| Q3 | 4.858 |
| 95-th percentile | 4.962 |
| Maximum | 5.045 |
| Range | 4.411 |
| Interquartile range (IQR) | 3.592 |
Descriptive statistics
| Standard deviation | 1.846120835 |
|---|---|
| Coefficient of variation (CV) | 0.531918773 |
| Kurtosis | -1.594647197 |
| Mean | 3.470681858 |
| Median Absolute Deviation (MAD) | 0.004 |
| Skewness | -0.5981945781 |
| Sum | 31756.739 |
| Variance | 3.408162139 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 4.856 | 1210 | 13.2% |
| 4.857 | 1071 | 11.7% |
| 4.855 | 840 | 9.2% |
| 4.859 | 788 | 8.6% |
| 4.86 | 471 | 5.1% |
| 4.858 | 352 | 3.8% |
| 4.962 | 144 | 1.6% |
| 1.365 | 136 | 1.5% |
| 1.405 | 135 | 1.5% |
| 4.963 | 126 | 1.4% |
| Other values (277) | 3877 |
| Value | Count | Frequency (%) |
| 0.634 | 6 | 0.1% |
| 0.635 | 22 | |
| 0.636 | 3 | < 0.1% |
| 0.637 | 5 | 0.1% |
| 0.638 | 5 | 0.1% |
| Value | Count | Frequency (%) |
| 5.045 | 5 | 0.1% |
| 5 | 3 | < 0.1% |
| 4.97 | 4 | < 0.1% |
| 4.968 | 57 | |
| 4.967 | 33 |
| Distinct | 11 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 5142.376852 |
|---|---|
| Minimum | 4963.6 |
| Maximum | 5228.1 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 71.6 KiB |
Quantile statistics
| Minimum | 4963.6 |
|---|---|
| 5-th percentile | 4991.6 |
| Q1 | 5099.1 |
| median | 5191 |
| Q3 | 5191 |
| 95-th percentile | 5228.1 |
| Maximum | 5228.1 |
| Range | 264.5 |
| Interquartile range (IQR) | 91.9 |
Descriptive statistics
| Standard deviation | 78.65603932 |
|---|---|
| Coefficient of variation (CV) | 0.01529565833 |
| Kurtosis | -0.5664451328 |
| Mean | 5142.376852 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | -0.9319604173 |
| Sum | 47052748.2 |
| Variance | 6186.772521 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=11)
| Value | Count | Frequency (%) |
| 5191 | 4750 | |
| 5099.1 | 1092 | 11.9% |
| 5228.1 | 866 | 9.5% |
| 5076.2 | 594 | 6.5% |
| 5017.5 | 454 | 5.0% |
| 4991.6 | 403 | 4.4% |
| 5008.7 | 369 | 4.0% |
| 4963.6 | 301 | 3.3% |
| 5195.8 | 232 | 2.5% |
| 5023.5 | 88 | 1.0% |
| Value | Count | Frequency (%) |
| 4963.6 | 301 | |
| 4991.6 | 403 | |
| 5008.7 | 369 | |
| 5017.5 | 454 | |
| 5023.5 | 88 | 1.0% |
| Value | Count | Frequency (%) |
| 5228.1 | 866 | 9.5% |
| 5195.8 | 232 | 2.5% |
| 5191 | 4750 | |
| 5176.3 | 1 | < 0.1% |
| 5099.1 | 1092 | 11.9% |
y
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 71.6 KiB |
| 1 | |
|---|---|
| 0 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 9150 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 1 |
| 5th row | 1 |
| Value | Count | Frequency (%) |
| 1 | 4640 | |
| 0 | 4510 |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 1 | 4640 | |
| 0 | 4510 |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 4640 | |
| 0 | 4510 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 9150 |
Most frequent character per category
| Value | Count | Frequency (%) |
| 1 | 4640 | |
| 0 | 4510 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 9150 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 1 | 4640 | |
| 0 | 4510 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 9150 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 1 | 4640 | |
| 0 | 4510 |
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
First rows
| id | age | job | marital | education | default | housing | loan | contact | month | day_of_week | duration | campaign | pdays | previous | poutcome | emp_var_rate | cons_price_idx | cons_conf_idx | euribor3m | nr_employed | y | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 1 | 41 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1575 | 1 | 999 | 0 | 0 | 1.1 | 93.994 | -36.4 | 4.857 | 5191.0 | 1 |
| 1 | 2 | 49 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1042 | 1 | 999 | 0 | 0 | 1.1 | 93.994 | -36.4 | 4.857 | 5191.0 | 1 |
| 2 | 3 | 49 | 2 | 1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 1467 | 1 | 999 | 0 | 0 | 1.1 | 93.994 | -36.4 | 4.857 | 5191.0 | 1 |
| 3 | 4 | 41 | 2 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 579 | 1 | 999 | 0 | 0 | 1.1 | 93.994 | -36.4 | 4.857 | 5191.0 | 1 |
| 4 | 5 | 45 | 0 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 461 | 1 | 999 | 0 | 0 | 1.1 | 93.994 | -36.4 | 4.857 | 5191.0 | 1 |
| 5 | 6 | 42 | 0 | 1 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 673 | 2 | 999 | 0 | 0 | 1.1 | 93.994 | -36.4 | 4.857 | 5191.0 | 1 |
| 6 | 7 | 39 | 3 | 1 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 935 | 3 | 999 | 0 | 0 | 1.1 | 93.994 | -36.4 | 4.857 | 5191.0 | 1 |
| 7 | 8 | 28 | 4 | 2 | 4 | 0 | 0 | 1 | 0 | 0 | 1 | 1201 | 1 | 999 | 0 | 0 | 1.1 | 93.994 | -36.4 | 4.857 | 5191.0 | 1 |
| 8 | 9 | 44 | 5 | 1 | 5 | 1 | 0 | 0 | 0 | 0 | 1 | 1030 | 1 | 999 | 0 | 0 | 1.1 | 93.994 | -36.4 | 4.857 | 5191.0 | 1 |
| 9 | 10 | 42 | 2 | 1 | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 1623 | 1 | 999 | 0 | 0 | 1.1 | 93.994 | -36.4 | 4.857 | 5191.0 | 1 |
Last rows
| id | age | job | marital | education | default | housing | loan | contact | month | day_of_week | duration | campaign | pdays | previous | poutcome | emp_var_rate | cons_price_idx | cons_conf_idx | euribor3m | nr_employed | y | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9140 | 9141 | 42 | 7 | 2 | 2 | 0 | 1 | 1 | 0 | 0 | 2 | 408 | 1 | 999 | 0 | 0 | 1.1 | 93.994 | -36.4 | 4.858 | 5191.0 | 0 |
| 9141 | 9142 | 60 | 3 | 1 | 5 | 0 | 0 | 0 | 0 | 0 | 2 | 74 | 1 | 999 | 0 | 0 | 1.1 | 93.994 | -36.4 | 4.858 | 5191.0 | 0 |
| 9142 | 9143 | 35 | 2 | 1 | 2 | 1 | 1 | 0 | 0 | 0 | 2 | 24 | 1 | 999 | 0 | 0 | 1.1 | 93.994 | -36.4 | 4.858 | 5191.0 | 0 |
| 9143 | 9144 | 45 | 7 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 2 | 369 | 1 | 999 | 0 | 0 | 1.1 | 93.994 | -36.4 | 4.858 | 5191.0 | 0 |
| 9144 | 9145 | 36 | 0 | 1 | 6 | 1 | 0 | 0 | 0 | 0 | 2 | 167 | 1 | 999 | 0 | 0 | 1.1 | 93.994 | -36.4 | 4.858 | 5191.0 | 0 |
| 9145 | 9146 | 33 | 9 | 1 | 2 | 1 | 0 | 0 | 0 | 0 | 2 | 64 | 3 | 999 | 0 | 0 | 1.1 | 93.994 | -36.4 | 4.858 | 5191.0 | 0 |
| 9146 | 9147 | 54 | 6 | 0 | 6 | 0 | 0 | 0 | 0 | 0 | 2 | 151 | 1 | 999 | 0 | 0 | 1.1 | 93.994 | -36.4 | 4.858 | 5191.0 | 0 |
| 9147 | 9148 | 46 | 3 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 2 | 336 | 1 | 999 | 0 | 0 | 1.1 | 93.994 | -36.4 | 4.858 | 5191.0 | 0 |
| 9148 | 9149 | 32 | 6 | 2 | 1 | 1 | 1 | 0 | 0 | 0 | 2 | 59 | 1 | 999 | 0 | 0 | 1.1 | 93.994 | -36.4 | 4.858 | 5191.0 | 0 |
| 9149 | 9150 | 42 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 2 | 93 | 1 | 999 | 0 | 0 | 1.1 | 93.994 | -36.4 | 4.858 | 5191.0 | 0 |